most cited"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection

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cs.CV2025★ 1 cited

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection

Siqi Wang, Yuanze Hu, Xinwang Liu +5

Industrial image anomaly detection (IAD) is a pivotal topic with huge value. Due to anomaly's nature, real anomalies in a specific modern industrial domain (i.e. domain-specific an…

cs.CV2021★ 1 cited

Deep Anomaly Discovery From Unlabeled Videos via Normality Advantage and Self-Paced Refinement

Guang Yu, Siqi Wang, Zhiping Cai +3

While classic video anomaly detection (VAD) requires labeled normal videos for training, emerging unsupervised VAD (UVAD) aims to discover anomalies directly from fully unlabeled v…